Threshold Based Filtering Technique for Efficient Moving Object Detection and Tracking in Video Surveillance

Vijayakumar, P.

doi:10.15623/ijret.2016.0502055

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Threshold Based Filtering Technique for Efficient Moving Object Detection and Tracking in Video Surveillance

Abstract: Detection and tracking of moving objects are an important research area in a video surveillance application. Object tracking is used in several applications such as video compression, surveillance, robot technology and so on.

Cited by 4 publications

References 18 publications

The Algorithm for Monitoring of Evolution of Stem Cells on Base Integral Optical Flow

The Algorithm for Monitoring of Evolution of Stem Cells on Base Integral Optical Flow

Integral Optical Flow and its Application for Monitoring Dynamic Objects from a Video Sequence

A new method for automating the investigation of stem cell populations based on the analysis of the integral optical flow of a video sequence

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